System and method for cycle time analysis and bottleneck detection in smart factory assembly lines

A device for improving productivity in an industrial setting comprising:

• one or more processors configured to:
• receive, for a plurality of stations, processing times indicating a time required for a part to be processed by each station, and waiting times indicating how long the part waited before moving to a subsequent one of the plurality of stations;
• determine, for the plurality of stations, cycle times for a predetermined window of time, where the cycle times indicates an average number of parts processed by the plurality of stations during the predetermined window of time;
• determine one of the stations as a potential bottleneck station by a pre-trained machine learning model based on the processing times, the waiting times, the cycle times, and a set of heuristic rules;
• display, to a user, the potential bottleneck station as a visualization which includes the processing times, the waiting times, and the cycle times of the potential bottleneck station;
• receive, from the user, a user feedback related to the potential bottleneck station;
• and
• update the set of heuristic rules, based on the user feedback indicating the potential bottleneck station is not a bottleneck, to output a result that is consistent with the user feedback,
• wherein determining of the one or more stations as the potential bottleneck station is further based on a comparison between an average cycle time of each station and a user-defined average cycle time threshold.

A device for improving productivity in an industrial setting comprising:

• one or more processors configured to:
• receive, for a plurality of stations, processing times indicating a time required for a part to be processed by each station, and waiting times indicating how long the part waited before moving to a subsequent one of the plurality of stations;
• determine, for the plurality of stations, cycle times for a predetermined window of time, where the cycle times indicates an average number of parts processed by the plurality of stations during the predetermined window of time;
• determine one of the stations as a potential bottleneck station based on the processing times, the waiting times, and the cycle times;
• display, to a user, the potential bottleneck station as a visualization which includes the processing times, the waiting times, and the cycle times of the potential bottleneck station;
• and
• receive, from the user, a user feedback related to the potential bottleneck station wherein the user feedback indicates that the potential bottleneck station is not a bottleneck,
• wherein the determining of the one or more stations as the potential bottleneck station is further based on a comparison between an average cycle time of each station and a user-defined average cycle time threshold.